Company:
A fast growing AI service and product based company (one of our clients)
Position:
Senior Data Engineer
Experience:
3-7 years
Location:
You can choose to work from any of our offices:
- Delhi, India
- Mohali, India
Job ID:
TOT2025111
Company Overview
AI solutions company led by alumni from IITs and IIMs. We specialize in building bespoke AI applications that transform complex challenges into scalable opportunities. Join us as we redefine what's possible - one intelligent solution at a time. We're on the lookout for a skilled and passionate AI Engineer ready to push boundaries. In this role, you'll architect, develop, and deploy intelligent systems across diverse domains. You'll work closely with top-tier data scientists, engineers, and product innovators to turn complex challenges into actionable insights using vast datasets and cutting-edge tools. If you're eager to make a real-world impact and thrive in a dynamic, future-focused environment- this is your moment to shine. Join us and help build an intelligent future.
Role Overview
We are seeking a Senior Data Engineer with strong expertise in distributed data systems, real-time streaming, and cloud-based data warehouses. You’ll design and maintain scalable data pipelines, optimize performance, and mentor junior engineers.
Key Responsibilities
-
Build and maintain ETL pipelines with Spark (Scala & PySpark).
Develop real-time streaming applications using Kafka Streams (Java).
Architect AWS Data Lakes (S3, Glue, EMR) with Apache Iceberg.
Design and optimize Snowflake warehouses and SQL queries.
Collaborate with cross-functional teams to deliver data solutions.
Contribute to CI/CD, containerization (Docker/Kubernetes), and best practices.
Mentor junior engineers and support team growth.
What You Bring
-
3-7 years in Data Engineering
-
At least one of Snowflake / Databricks / Azure Data Factory / dbt
-
At least one of PostgreSQL / Oracle / MySQL / SQL Server
-
Experience in building ETL pipelines
-
AWS services (S3, RDS, Glue, EMR, Redshift, Athena, Lambda)
-
Data Migration, Data warehousing, Data modelling
-
Knowledge about latest AI models (especially LLMs and VLMs)
Nice-to-Haves
-
Data Analytics skills
-
Knowledge about Machine Learning techniques
-
Either of Power BI / Tableau / Qlik / Looker
Real time streaming applications (Kafka streams/Java)
Kubernetes, Docker
Perks and Other Details
-
Competitive base salary (no bar for the right candidate)
-
Freedom to experiment and innovate without excessive approvals.
To apply, please fill the form below. (For better experience, use laptop and Chrome browser)

